Use cases

Tools, repositories, and skills for planning, coding, testing, and deploying web applications with AI assistance.

Agent frameworks and projects for building autonomous or semi-autonomous software workflows.

MCP servers and SDKs that connect AI agents to developer tools, files, browsers, APIs, and databases.

Browser automation libraries and AI-operated browser tools for testing, research, and workflow automation.

Retrieval-augmented generation frameworks, vector databases, and data tooling for knowledge-connected LLM apps.

Open-source and developer-focused resources for finance data, backtesting, analytics, and trading research.

Open-source and locally controllable AI tools for builders who need privacy, portability, or reduced vendor lock-in.

AI-assisted coding and app-building tools for fast product prototyping by developers and non-traditional builders.

IDE, CLI, and code-review assistants that help write, edit, explain, or refactor code.

Tools that turn designs, screenshots, or prompts into frontend code and product UI.

Prompt-driven app builders and hosted development environments for shipping web apps quickly.

Local model runners, inference servers, gateways, and self-hosted chat or agent tools.

Tools for documentation, code search, testing, review, observability, and engineering workflow acceleration.

Evaluation, tracing, prompt testing, and monitoring tools for LLM applications.

Allowed web data extraction, browser automation, crawling, and content-to-markdown tooling for builders.

MCP registries, clients, SDKs, and tool hubs for discovering agent integrations.

Data notebooks, app frameworks, analytics libraries, and AI-assisted data workflows.

Documentation, knowledge-base, and developer education tools that help teams explain software clearly.

Tools and libraries for generating, editing, or composing production UI components.